Triple
T28265543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romanian railway network |
E712691
|
entity |
| Predicate | hasHighSpeedPotential |
P191569
|
FINISHED |
| Object | Bucharest–Constanța line |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bucharest–Constanța line | Statement: [Romanian railway network, hasHighSpeedPotential, Bucharest–Constanța line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighSpeedPotential Context triple: [Romanian railway network, hasHighSpeedPotential, Bucharest–Constanța line]
-
A.
hasPotential
Indicates that an entity possesses the capacity or possibility to develop, achieve, or exhibit a particular state, quality, or outcome in the future.
-
B.
hasHigh
Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
-
C.
hasHighSpeedLine
Indicates that there exists a high-speed rail line connection between the related entities.
-
D.
hasHighSpeedSections
Indicates that the entity includes segments or portions where operation or movement occurs at high speed.
-
E.
isHighPerformance
Indicates that an entity operates at a superior or above-standard level of efficiency, speed, or capability compared to typical expectations or benchmarks.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce28a74508190aab36551094e8226 |
completed | May 7, 2026, 7:05 p.m. |
Created at: April 27, 2026, 11:14 p.m.